A positive definite estimator of the non stationary covariance of random fields

Gilles Guillot, R. Senoussi, P. Monestiez

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Abstract

This paper proposes a non parametric estimator of the covariance function for 2-dimensional random fields by regularization of the empirical covariance matrix by a convolution kernel. The main feature of this estimator is its positive definiteness everywhere on its domain while it does not assume stationarity of the field. We present several choices of the kernel, then we provide some insight for the selection of the smoothing parameter involved. We illustrate some of our results on a one dimensional simulated dataset and on actual 2-dimensional rainfall data.
Original languageEnglish
Title of host publicationgeoENV III — Geostatistics for Environmental Applications : Proceedings of the Third European Conference on Geostatistics for Environmental Applications held in Avignon, France, November 22–24, 2000
EditorsPascal Monestiez, Denis Allard, Roland Froidevaux
Publication date2001
Pages333-344
ISBN (Print)978-0-7923-7107-6
ISBN (Electronic)978-94-010-0810-5
DOIs
Publication statusPublished - 2001
Externally publishedYes
Event3rd European Conference on Geostatistics for Environmental Applications - Avignon, France
Duration: 22 Nov 200024 Nov 2000
Conference number: 3
https://link.springer.com/book/10.1007/978-94-010-0810-5

Conference

Conference3rd European Conference on Geostatistics for Environmental Applications
Number3
Country/TerritoryFrance
CityAvignon
Period22/11/200024/11/2000
Internet address
SeriesQuantitative Geology and Geostatistics
Volume11
ISSN0924-1973

Fingerprint

Dive into the research topics of 'A positive definite estimator of the non stationary covariance of random fields'. Together they form a unique fingerprint.

Cite this